These are all symptoms that can make patients' voices distinctive, creating recognizable voice signatures and enabling the training of algorithms to predict the presence of a SARS-COV-2 infection or as a tool to grade the severity of the disease.

Audio, as a novel digital phenotype, is playing an increasingly important role in the ever-lasting changing and developing era of Medicine 4.0, which is empowered by artificial intelligence. Moreover, audio can fulfill the task as a new “digital drug” in clinical practice, e.g., music therapy.

Feb 29, 2024 · Using a computer to evaluate lung sound features more thoroughly with the use of analyzing changes in lung sound behavior, recording measurements, suppressing the presence of noise contaminations, and graphical representations are all made possible by computer-based lung sound analysis.

In this article, we address recent advances in the so far understudied but highly promising audio domain with a particular focus on speech data and present corresponding state-of-the-art technologies.

Audio signal-based heart disease detection is a promising area of research that leverages sound signals generated by the heart to identify and diagnose cardiovascular disorders. Machine learning (ML) and deep learning (DL) techniques are pivotal in classifying and identifying heart disease from audio signals.

In the age of artificial intelligence (AI), patients’ audio recordings are being investigated as digital biomarkers for early detection of a broad range of conditions, including laryngeal pathology, neurological and psychological disorders, head and neck cancers, and diabetes.

Aug 30, 2021 · In this article, we give an overview of research on human audio signals using ‘Artificial Intelligence’ techniques to screen, diagnose, monitor, and spread the awareness about COVID-19.

PURPOSE Mental health screening is recommended by the US Preventive Services Task Force for all patients in areas where treatment options are available. Still, it is estimated that only 4% of primary care patients are screened for depression. The goal of this study was to evaluate the efficacy of machine learning technology (Kintsugi Voice, …

Jan 24, 2025 · Explore advanced audio algorithms that enhance speech recognition technology, improving accuracy and efficiency in processing. Voice analysis technologies have emerged as a significant tool in health monitoring, leveraging audio algorithms to assess various health conditions through vocal characteristics.

Mar 4, 2024 · Through linear probes, we establish HeAR as a state-of-the-art health audio embedding model on a benchmark of 33 health acoustic tasks across 6 datasets. By introducing this work, we hope to enable and accelerate further health acoustics research.